Online Course

FSDS_6_Model_Deployment

This Module Covers How To Deploy Your Machine Learning And Deep Learning Model As A Service

Flask Swagger Docker Jenkins Git Azure Ml studio Aws
Included in Course

  • video_library Rich Learning Content

  • assessment Quizzes & Projects

  • verified_user Taught by Industry Pros

  • forum Student Support Community

  • grade Certificate of Completion

About the Course

  • Making your Machine Learning and Deep Learning codes Deployable
  • Writing REST APIs using Flask, using Postman application
  • Model deployment on local machine, writing Swagger apps
  • Docker Images and Containers
  • Deploying Machine Learning & Deep Learning Models on custom web servers (gunicorn, nginix concepts..), and Heroku
  • CI/CD in Machine Learning using Jenkins & Git
  • Microsoft Azure ML Studio: model building & deployment on cloud
  • Model Building, Deployment in AWS (Sagemaker, EC2, S3, Rekognition, Comprehend, Lambda Functions etc..)

Course Leads

  • Prashant Sahu
    Prashant Sahu

    Staff